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addressing complex health and social care challenges of the 21st century. We employ traditional statistical and epidemiological methods, alongside cutting-edge artificial intelligence algorithms to gain
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century. We employ traditional statistical and epidemiological methods, alongside cutting-edge artificial intelligence algorithms to gain insights into real-world problems. This is combined with qualitative
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programming skills in Python or C++ knowledge of biometric technologies, computer imaging and statistical analysis methodologies proven time management skills and the ability to work independently and
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with a Ph.D. (either awarded or nearing completion) or equivalent professional qualification and experience in Machine Learning, Statistics, or a related field, who have in-depth knowledge in and
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Machine Learning, Statistics, or a related field, who have in-depth knowledge in and demonstrable experience with: Recent deep learning techniques, including, e.g., diffusion models and attentional models
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skills in MATLAB or Python for noise and vibration analysis and be comfortable working with statistical methods to quantify characteristics of data sets. In addition to undertaking original, state